Ai Product Manager Milano

Ai Product Manager
Milano
Lombardia, Milano

AI, Product Manager needs a deep understanding of data science, mathematics, statistics, and other concepts like deep learning and artificial intelligence.

Using their data science knowledge, he/she tends to make product management more efficient.

Employing and leveraging data science tools, machine learning models, and algorithms to automate product processes, he/she gets better evaluations and extrapolates crucial insights.

Finally, understanding product management while also having a good idea of how machine learning fits into the equation.

Reports: VP of Artificial Intelligence Location: Biassono or Milan, Italy (Hybrid) – Or Italy Remote Responsibilities: • Oversee various products, and product lines, and manage production • Work on the product roadmap based on the product lifecycle.

• Assist the product team in the development, creation, and management of new products to ensure that they become successful products.

• Help the product owner and development team in the product… development process by doing relevant data analysis.

• Collaborate with internal teams and external partners to work on delivering various AI/ML solutions to meet customer needs.

• Identify the right use cases for machine learning, including business cases.

• Decide on the product feature tradeoffs based on the user experience data.

• Evaluate what metrics need to be tracked to improve machine learning models.

• Identify new business opportunities that can utilize AI/ML technology to drive profitability.

Product Engineering • Work closely with the engineering teams and product leaders to ensure everything is being developed and managed accordingly.

• Define data and annotation strategies for all machine learning projects.

• Take an active part in sprint planning, retrospective activities, and backlog review and prioritization.

• Monitor open bugs, missing data, output precision issues, and result incompleteness and inconsistency.

Virtual Coaching • Oversee the development and enhancement of virtual coaching products.

• Identify and prioritize use cases for generative AI within the coaching context, creating compelling business cases.

• Explore new business opportunities that leverage generative AI to provide innovative coaching solutions.

Requirements: • 3+ Years of experience as a Product Manager in a B2B SaaS company.

• Curious and proactive in learning about emerging technologies and their potential applications.

• Stay up-to-date with the latest trends in virtual coaching and generative AI, integrating relevant innovations into our product strategy.

• Strong interest and knowledge in generative AI and its applications in product development.

• Confidence to influence, communicate and build relationships with key stakeholders.

• Comfortable working with global, distributed teams (Product Management & Engineering primarily in EMEA).

• Knowledge and experience working with different variations of Agile/Scrum.

• Ability to operate at various "levels" – strategy vs. execution, problem vs. solution.

• Excellent prioritization and communication skills to deliver the right things on time.

• Exceptional analytical and problem-solving skills in a technical domain.

• Ability to communicate complex technical concepts to non-technical audiences.

• Ability to manage upwards, influencing senior leaders in the organization.

• Ability to review processes and drive change through continuous improvement.

• Full written and verbal English communication proficiency.

Nice to Have: • Experience or a strong interest in virtual coaching or online learning platforms.

Highlight their ability to understand and improve the coaching experience through technology.

• Emphasize the importance of curiosity and knowledge about generative AI.

Candidates should be keen to explore and integrate new AI techniques into product development Company: Docebo Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Data Analysis , Industry , Italy , Machine Learning , NLP #J-18808-Ljbffr